Introducing Django Smart Ratelimit v0.7.0: The Ultimate Rate Limiting Solution with Advanced Token Bucket Algorithm

Are you a Django developer seeking a more intelligent and reliable way to manage API traffic and prevent abuse? We’re excited to announce the release of Django Smart Ratelimit version 0.7.0 — a comprehensive rate limiting library designed to meet modern needs with cutting-edge features.

Enhanced Features for Smarter Traffic Control

This latest update introduces several significant improvements aimed at providing robust and flexible rate limiting capabilities:

• Advanced Token Bucket Algorithm: Say goodbye to simplistic throttling. Our implementation employs the token bucket method, which accommodates burst traffic patterns and adapts to real-world scenarios. Unlike traditional methods, it allows legitimate rapid requests without penalizing active users during traffic surges.
• Full Type Safety: Built with strict type annotations and complete mypy compatibility, ensuring easier maintenance, better tooling support, and fewer runtime errors.
• Enhanced Security Measures: Incorporates Bandit security checks, resolving previous vulnerabilities and ensuring your rate limiting logic is safe against common security pitfalls.
• Up-to-Date Compatibility: Fully supports Python 3.13 and Django 5.1, keeping your projects current and future-proof.
• Reliable Testing: Features over 340 automated tests, guaranteeing stability and dependability in production environments.

Why Choose the Token Bucket Approach?

Traditional rate limiting methods often block users abruptly at reset intervals, which can lead to poor user experience and unnecessary frustration. The token bucket method, by contrast, offers a smarter balance:

• Permits short bursts of traffic — ideal for mobile apps, API retries, or batch processes
• Maintains long-term request limits to prevent abuse
• Enhances user experience during traffic spikes while safeguarding your infrastructure

Example Comparison:

Old way:
python
@rate_limit(key='user', rate='100/h')

New, improved method:
python
@rate_limit(key='user', rate='100/h', algorithm='token_bucket', algorithm_config={'bucket_size': 200})

This configuration allows for bursts of up to 200 requests, then tapers down to a steady 100 requests per hour.

Why Developers and Businesses Should Use Django Smart Ratelimit

• Ultra-fast response times—measurements in sub-millisecond ranges
• Supports three versatile algorithms: token_bucket, sliding_window, fixed_window
• Multiple backend options: Redis, traditional databases,